Bi-Objective Model Predictive Controller for Supply Chains Management Without Delay

摘要

In this paper, we design bi-objective model predictive controller for inventory management in supply chains without any delay in production or shipments. The objectives used are obtained from model predictive control and economic model predictive control. Adaptive Weighted Sum (AWS)method is used to design a bi-objective optimization problem by combining these two control strategies and weighting each of the respective strategy based on a subjective perspective. The acquired control is then compared to model predictive control and economic model predictive control ina numerical simulation. Based on the results from the simulation, it can be seen that the control obtained through AWS method could stabilize a system with more cost-effective inputs when it is compared with model predictive control. The results also show that the control can stabilize a widerrange of initial state when it is compared to economic model predictive control.